10587951
30495
Laurens Krudde
37
Supervised Classification
19154
sklearn.neighbors._classification.KNeighborsClassifier(13)
8304054
Python_3.7.14. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
algorithm
"auto"
19154
leaf_size
30
19154
metric
"minkowski"
19154
metric_params
null
19154
n_jobs
null
19154
n_neighbors
11
19154
p
2
19154
weights
"uniform"
19154
openml-python
Sklearn_1.0.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22103469
description
https://api.openml.org/data/download/22103469/description.xml
-1
22103470
predictions
https://api.openml.org/data/download/22103470/predictions.arff
area_under_roc_curve
0.7874328358208955 [0.787433,0.787433]
average_cost
0
f_measure
0.7369197927470248 [0.811843,0.597137]
kappa
0.41151943242990946
kb_relative_information_score
0.27550922576695946
mean_absolute_error
0.33084753787878907
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7434895833333334 [0.85,0.544776]
number_of_instances
768 [500,268]
precision
0.7363703206989447 [0.776965,0.660633]
predictive_accuracy
0.7434895833333333
prior_entropy
0.9331348051619819
relative_absolute_error
0.7279512441957432
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4183634528136244
root_relative_squared_error
0.8777329709037773
total_cost
0
unweighted_recall
0.6973880597014925 [0.85,0.544776]
area_under_roc_curve
0.8429629629629629 [0.842963,0.842963]
area_under_roc_curve
0.7644444444444445 [0.764444,0.764444]
area_under_roc_curve
0.8366666666666667 [0.836667,0.836667]
area_under_roc_curve
0.7459259259259259 [0.745926,0.745926]
area_under_roc_curve
0.7662962962962963 [0.766296,0.766296]
area_under_roc_curve
0.8133333333333334 [0.813333,0.813333]
area_under_roc_curve
0.7844444444444445 [0.784444,0.784444]
area_under_roc_curve
0.8088888888888889 [0.808889,0.808889]
area_under_roc_curve
0.7692307692307693 [0.769231,0.769231]
area_under_roc_curve
0.7761538461538461 [0.776154,0.776154]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.7521404431548276 [0.811881,0.641509]
f_measure
0.688825590794173 [0.785047,0.510638]
f_measure
0.7495827986975903 [0.815534,0.627451]
f_measure
0.7059025198560083 [0.810811,0.511628]
f_measure
0.7272936403371186 [0.814815,0.565217]
f_measure
0.7801128164764528 [0.828283,0.690909]
f_measure
0.7112593828190158 [0.807339,0.533333]
f_measure
0.7818349122696949 [0.851852,0.652174]
f_measure
0.719249580261333 [0.796117,0.571429]
f_measure
0.7390301149699646 [0.795918,0.62963]
kappa
0.4534927157265597
kappa
0.302481291847184
kappa
0.4439376662865831
kappa
0.33919084593379656
kappa
0.3879173290937998
kappa
0.519280205655527
kappa
0.35138387484957884
kappa
0.5103338632750399
kappa
0.3686708860759495
kappa
0.4259818731117823
kb_relative_information_score
0.3448949638575359
kb_relative_information_score
0.25380199059095593
kb_relative_information_score
0.3023370079790741
kb_relative_information_score
0.23448476109317212
kb_relative_information_score
0.23322378674088462
kb_relative_information_score
0.2598253480992589
kb_relative_information_score
0.2898924376058666
kb_relative_information_score
0.2919089601115778
kb_relative_information_score
0.2754421330918366
kb_relative_information_score
0.26914528784979025
mean_absolute_error
0.30224321133412047
mean_absolute_error
0.3353010625737899
mean_absolute_error
0.32231404958677695
mean_absolute_error
0.34710743801652894
mean_absolute_error
0.3530106257378985
mean_absolute_error
0.33884297520661144
mean_absolute_error
0.32113341204250295
mean_absolute_error
0.33293978748524206
mean_absolute_error
0.32416267942583743
mean_absolute_error
0.33133971291866043
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.7512977218859571 [0.803922,0.653846]
precision
0.6888585099111415 [0.736842,0.6]
precision
0.7483459936290124 [0.792453,0.666667]
precision
0.7201005961251863 [0.737705,0.6875]
precision
0.7325288141985057 [0.758621,0.684211]
precision
0.7812748476013783 [0.836735,0.678571]
precision
0.7180277349768875 [0.745763,0.666667]
precision
0.7918306738633417 [0.793103,0.789474]
precision
0.7171754242044818 [0.773585,0.608696]
precision
0.7422462406015038 [0.8125,0.607143]
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7236842105263157
predictive_accuracy
0.736842105263158
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
relative_absolute_error
0.6642695629610401
relative_absolute_error
0.7369240464099039
relative_absolute_error
0.7083812136264217
relative_absolute_error
0.7628720762130695
relative_absolute_error
0.7758460911146523
relative_absolute_error
0.7447084553508532
relative_absolute_error
0.705786410646105
relative_absolute_error
0.7317344404492707
relative_absolute_error
0.7164979604169806
relative_absolute_error
0.7323613838948474
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.3953144047306248
root_mean_squared_error
0.4319036142419712
root_mean_squared_error
0.3986937994672167
root_mean_squared_error
0.4405154707888172
root_mean_squared_error
0.42273584178388807
root_mean_squared_error
0.40958254598156163
root_mean_squared_error
0.4299109687153704
root_mean_squared_error
0.4041748431720752
root_mean_squared_error
0.4260187237939825
root_mean_squared_error
0.422430054488538
root_relative_squared_error
0.8284472719744737
root_relative_squared_error
0.9051260634392895
root_relative_squared_error
0.8355293573145265
root_relative_squared_error
0.9231736452564298
root_relative_squared_error
0.8859134671056015
root_relative_squared_error
0.8583485418346997
root_relative_squared_error
0.9009501423729942
root_relative_squared_error
0.8470157986142232
root_relative_squared_error
0.8978834388032548
root_relative_squared_error
0.8903199056608515
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.7248148148148148 [0.82,0.62963]
unweighted_recall
0.6422222222222222 [0.84,0.444444]
unweighted_recall
0.7162962962962962 [0.84,0.592593]
unweighted_recall
0.6537037037037037 [0.9,0.407407]
unweighted_recall
0.6807407407407408 [0.88,0.481481]
unweighted_recall
0.7618518518518518 [0.82,0.703704]
unweighted_recall
0.6622222222222223 [0.88,0.444444]
unweighted_recall
0.7377777777777779 [0.92,0.555556]
unweighted_recall
0.6792307692307692 [0.82,0.538462]
unweighted_recall
0.716923076923077 [0.78,0.653846]
usercpu_time_millis
7.754824999999244
usercpu_time_millis
6.504162000002367
usercpu_time_millis
6.734326000003676
usercpu_time_millis
6.4504129999996
usercpu_time_millis
6.959314000003047
usercpu_time_millis
6.458916999999786
usercpu_time_millis
6.492622000003223
usercpu_time_millis
6.550951000001248
usercpu_time_millis
6.375624000000357
usercpu_time_millis
6.453368999999043
usercpu_time_millis_testing
4.446994999998566
usercpu_time_millis_testing
4.0770019999989415
usercpu_time_millis_testing
4.017872000002143
usercpu_time_millis_testing
4.01707600000023
usercpu_time_millis_testing
4.496695000000273
usercpu_time_millis_testing
4.056632000001059
usercpu_time_millis_testing
4.021646000001766
usercpu_time_millis_testing
4.160577000000387
usercpu_time_millis_testing
3.9795380000029468
usercpu_time_millis_testing
3.9997959999986676
usercpu_time_millis_training
3.3078300000006777
usercpu_time_millis_training
2.4271600000034255
usercpu_time_millis_training
2.7164540000015336
usercpu_time_millis_training
2.4333369999993693
usercpu_time_millis_training
2.462619000002775
usercpu_time_millis_training
2.4022849999987272
usercpu_time_millis_training
2.470976000001457
usercpu_time_millis_training
2.390374000000861
usercpu_time_millis_training
2.3960859999974105
usercpu_time_millis_training
2.4535730000003753
wall_clock_time_millis
7.817506790161133
wall_clock_time_millis
6.508350372314453
wall_clock_time_millis
6.833553314208984
wall_clock_time_millis
6.467103958129883
wall_clock_time_millis
6.998538970947266
wall_clock_time_millis
6.464719772338867
wall_clock_time_millis
6.49714469909668
wall_clock_time_millis
6.70313835144043
wall_clock_time_millis
6.392478942871094
wall_clock_time_millis
6.457805633544922
wall_clock_time_millis_testing
4.453420639038086
wall_clock_time_millis_testing
4.081487655639648
wall_clock_time_millis_testing
4.022359848022461
wall_clock_time_millis_testing
4.021883010864258
wall_clock_time_millis_testing
4.534721374511719
wall_clock_time_millis_testing
4.061222076416016
wall_clock_time_millis_testing
4.026174545288086
wall_clock_time_millis_testing
4.311800003051758
wall_clock_time_millis_testing
3.9834976196289062
wall_clock_time_millis_testing
4.0035247802734375
wall_clock_time_millis_training
3.364086151123047
wall_clock_time_millis_training
2.4268627166748047
wall_clock_time_millis_training
2.8111934661865234
wall_clock_time_millis_training
2.445220947265625
wall_clock_time_millis_training
2.463817596435547
wall_clock_time_millis_training
2.4034976959228516
wall_clock_time_millis_training
2.4709701538085938
wall_clock_time_millis_training
2.391338348388672
wall_clock_time_millis_training
2.4089813232421875
wall_clock_time_millis_training
2.4542808532714844
weighted_recall
0.7532467532467533 [0.82,0.62963]
weighted_recall
0.7012987012987013 [0.84,0.444444]
weighted_recall
0.7532467532467533 [0.84,0.592593]
weighted_recall
0.7272727272727273 [0.9,0.407407]
weighted_recall
0.7402597402597403 [0.88,0.481481]
weighted_recall
0.7792207792207793 [0.82,0.703704]
weighted_recall
0.7272727272727273 [0.88,0.444444]
weighted_recall
0.7922077922077922 [0.92,0.555556]
weighted_recall
0.7236842105263158 [0.82,0.538462]
weighted_recall
0.7368421052631579 [0.78,0.653846]